DESIGN
콘텐츠 경험 설계

A Strategy Block is the minimum semantic unit that AI understands.

While keyword grouping simply collects words together, a Strategy Block is a logical combination of 1. Category Entry Points (CEP), 2. Customer Decision Journey (CDJ), and 3. Intent. Since AI remembers context rather than individual words, you need to increase the density of these blocks to be recognized as an authority on the topic.

It refers to all digital touchpoints where customers encounter your brand, serving as the fundamental atom of Team HAI's strategy.

Rather than simply referring to channels like websites or blogs, it means specific touchpoint units that combine channel + content + intent, such as 'blog answer to dryer noise question.' These CEPs come together to form Strategy Blocks.

It's a mathematical similarity measure showing how well your content matches what customers want.

We calculate the Cosine Similarity between the target customer's intent vector (i) and your content vector (c). The closer this value is to 1, the more likely AI will recognize your content as an accurate answer to the question and cite it.

A Strategy Block is the minimum semantic unit through which AI learns about your brand. Using Team HAI's Block Builder feature, you bundle Category Entry Points (CEP), Customer Decision Journey (CDJ), and Intent into a single unit.

For example, rather than just the keyword 'dryer,' you design a block as 'noise (intent) - comparison (journey) - blog review (touchpoint).' Within the solution, you can group keywords and touchpoints using drag-and-drop, and simulate the expected authority score for that block in advance.

We select based on conversion value rather than simple search volume. User search queries are analyzed using vector analysis to classify them into informational (Know), transactional (Do), navigational (Go), etc. Then we extract intents that have a high probability of leading to actual purchases or conversions when combined with your brand's product characteristics.

The solution provides an Intent Alignment Score that shows how well these extracted intents match your brand's current content, helping guide your strategy direction.

It verifies that the customer's purchase journey flows seamlessly without breaks. It analyzes whether content from the exploration stage and consideration stage are semantically connected (Cosine Similarity) in vector space.

If the connection between two stages is weak, AI may recognize them as separate information and exclude your brand from recommendation lists. The solution identifies these disconnected segments and suggests ways to bridge them.